Qualification and Quantification of Fuzzy Linguistic Variables and Fuzzy Expressions

被引：0
|
作者：
Wang, Yingxu [1 ]
机构：
[1] Univ Calgary, Dept Elect & Comp Engn, Schulich Sch Engn, Theoret & Empir Software Engn Res Ctr,ICfCI, Calgary, AB T2N 1N4, Canada
来源：
PROCEEDINGS OF THE 8TH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS | 2009年
关键词：
Cognitive informatics; formal inference; fuzzy inference; fuzzy set; fuzzy logic; fuzzy variables; fuzzy expressions; fuzzy qualification; fuzzy quantification; mathematical models; denotational mathematics; case studies; soft computing; computational intelligence;
D O I：
10.1007/978-3-642-02682-9_36
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
One of the essences of fuzzy logic is how fuzzy variables and fuzzy expressions may be transformed into precise quantities and rigorous models in fuzzy inferences. This paper presents a denotational mathematical structure and methodology for modeling fuzzy qualifications and quantifications in cognitive informatics, soft computing, and computational intelligence. Fuzzy qualifications and quantifications for both absolute and relative measures are formally elaborated on discrete and continuous fuzzy object and expressions. In addition, the qualification for characteristic attributes of fuzzy objects is modeled. Applications of fuzzy qualifications and quantifications are illustrated using a rich set of examples and real-world cases, which enable machines to mimic complex human reasoning mechanisms in cognitive informatics, soft computing, and computational intelligence.
引用
收藏
页码：256 / 263
页数：8
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